Jun Liu

Email: jun_liu AT sutd.edu.sg

I am an Assistant Professor at the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design (SUTD).  I am currently looking for motivated PhD students, Research Assistants, and Visiting Students with strong interests in computer vision and machine learning. If interested, kindly contact me via email.

[ We have Research Fellow & Research Associate positions ]

Research Interests 

Computer Vision, Machine Learning.

Selected Publication (Google Scholar)

  • Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao, Robust Face Alignment by Multi-order High-precision Hourglass Networks, IEEE Transactions on Image Processing (TIP), 2021.

  • Mauricio Perez, Jun Liu, Alex C. Kot, Interaction Relational Network for Mutual Action Recognition, IEEE Transactions on Multimedia (TMM), 2021.

  • Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang, Global-Local Label Correlation for Partial Multi-Label Learning, IEEE Transactions on Multimedia (TMM), 2021.

  • Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan, HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction, European Conference on Computer Vision (ECCV), 2020. 

  • Zhipeng Fan, Jun Liu, Yao Wang, Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation, European Conference on Computer Vision (ECCV), 2020. (Spotlight Paper)

  • Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot, Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis, European Conference on Computer Vision (ECCV), 2020. (Spotlight Paper)

  • Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, et al., Learning Progressive Joint Propagation for Human Motion Prediction, European Conference on Computer Vision (ECCV), 2020. 

  • Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Lingyu Duan, Disentangled Feature Learning Network for Vehicle Re-Identification, International Joint Conference on Artificial Intelligence (IJCAI), 2020.

  • Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot, Feature Boosting Network for 3D Pose Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

  • Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, Skeleton-Based Online Action Prediction Using Scale Selection Network, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (PREMIA Best Student Paper Silver Award)

  • Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, and Alex C. Kot, NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. [dataset

  • Xiaohong Wang, Xudong Jiang, Henghui Ding, Jun Liu, Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation, IEEE Transactions on Image Processing (TIP), 2020. 

  • Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan, VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [dataset]

  • Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, Nadia Magnenat Thalmann, Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks, IEEE International Conference in Computer Vision (ICCV), 2019.

  • Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan, Embedding Adversarial Learning for Vehicle Re-Identification, IEEE Transactions on Image Processing (TIP), 2019. 

  • Ye Liu, Xiao-Yuan Jing, Jianhui Nie, Hao Gao, Jun Liu, Guo-Ping Jiang, Context-aware three-dimensional mean-shift with occlusion handling for robust object tracking in RGB-D videos, IEEE Transactions on Multimedia (TMM), 2019. [code

  • Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, SSNet: Scale selection network for online 3D action prediction, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Spotlight Paper)

  • Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, Gang Wang, Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018. 

  • Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, Alex C. Kot, Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks, IEEE Transactions on Image Processing (TIP), 2018. 

  • Luchao Tian, Mingchen Li, Yu Hao, Jun Liu, Guyue Zhang, Yan Qiu Chen, Robust 3-D human detection in complex environments with a depth camera, IEEE Transactions on Multimedia (TMM), 2018.

  • Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot, Global context-aware attention LSTM networks for 3D action recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

  • Ping Hu, Bing Shuai, Jun Liu, Gang Wang, Deep level sets for salient object detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

  • Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang, Spatio-temporal LSTM with trust gates for 3D human action recognition, European Conference on Computer Vision (ECCV), 2016. (PREMIA Best Student Paper Silver Award)

  • Amir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang, NTU RGB+D: A large scale dataset for 3D human activity analysis, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [dataset]

Professional Activities 

  • Organizer: Large Scale 3D Human Activity Analysis Challenge in Depth Videos, ACCV 2016.

  • Conference TPC Member/Reviewer: CVPR, ICCV, ECCV, AAAI, IJCAI, ACCV, WACV, ICME, etc.

  • Journal Reviewer: TPAMI, IJCV, TIP, TNNLS, TMM, TCSVT, TCYB, TIFS, TII, etc.

  • Editorial Board Member: Electronics.

Awards              

  • EEE Best Thesis Award, Nanyang Technological University (NTU), 2020.

  • Best Student Paper Silver Award of the Year, Pattern Recognition and Machine Intelligence Association (PREMIA), 2019.

  • Best Student Paper Silver Award of the Year, Pattern Recognition and Machine Intelligence Association (PREMIA), 2016.

 

©2021 by Liu Jun

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